CN109631118A - A kind of kitchen ventilator that can identify pernicious gas in oil smoke - Google Patents
A kind of kitchen ventilator that can identify pernicious gas in oil smoke Download PDFInfo
- Publication number
- CN109631118A CN109631118A CN201811653162.XA CN201811653162A CN109631118A CN 109631118 A CN109631118 A CN 109631118A CN 201811653162 A CN201811653162 A CN 201811653162A CN 109631118 A CN109631118 A CN 109631118A
- Authority
- CN
- China
- Prior art keywords
- aromatic hydrocarbon
- polycyclic aromatic
- oil smoke
- module
- concentration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2021—Arrangement or mounting of control or safety systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/254—Analysis of motion involving subtraction of images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Investigating Or Analyzing Materials By The Use Of Fluid Adsorption Or Reactions (AREA)
- Ventilation (AREA)
Abstract
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, is provided with smoke machine main body and harmful gas detecting device, and harmful gas detecting device is electrically connected with smoke machine main body.Harmful gas detecting device carries out that the current polycyclic aromatic hydrocarbon concentration of cooking zone is calculated according to the oil smoke size of temperature in the cooking zone of detection and cooking zone.Temperature in the temperature sensing module detection cooking zone of the kitchen ventilator, image capture module obtain generating to the image analysis of cooking zone oil smoke and in real time oil smoke situation into that must acquire, and then pass through the concentration that computing module calculates the polycyclic aromatic hydrocarbon of current environment.Furthermore kitchen ventilator of the invention can also carry out Environmental Health grade classification to the concentration of the polycyclic aromatic hydrocarbon of current environment, the kitchen ventilator also has blast velocity control module, cue module and firepower control module simultaneously, current environment Health Category automatically adjusts the firepower of wind speed and external stove, making the concentration of the polycyclic aromatic hydrocarbon of current environment reduces, while call user's attention is protected.
Description
Technical field
The present invention relates to kitchen ventilator field, in particular to a kind of kitchen ventilator that can identify pernicious gas in oil smoke.
Background technique
In the modern life, many families can generate a large amount of oil smoke in cooking.Studies have shown that cooking fume ingredient is multiple
It is miscellaneous, there is certain toxicity on inhalation, immunotoxicity and mutagenicity, there are certain harm to human health.In soot gas
Include multiring aromatic hydrocarbon substance, has considerable part that there is carcinogenicity in multiring aromatic hydrocarbon substance, such as benzo [α] pyrene.Existing skill
The kitchen ventilator of art can not oil smoke in the current cooking environments of automatic identification multiring aromatic hydrocarbon substance concentration, greatly limit oil
The intelligent development of smoke machine.
Therefore in view of the shortcomings of the prior art, providing a kind of kitchen ventilator that can identify pernicious gas in oil smoke to solve existing skill
Art deficiency is very necessary.
Summary of the invention
One of purpose of the invention is to avoid in place of the deficiencies in the prior art and providing a kind of can identify in oil smoke
The kitchen ventilator of pernicious gas.This can identify that the oil smoke function of pernicious gas in oil smoke identifies the nocuousness of the oil smoke in preceding cooking environments
Substance polycyclic aromatic hydrocarbon concentration.
Above-mentioned purpose of the invention is realized by following technical measures:
A kind of kitchen ventilator that can identify pernicious gas in oil smoke is provided, smoke machine main body and pernicious gas detection dress are provided with
It sets, harmful gas detecting device is electrically connected with smoke machine main body.
Harmful gas detecting device is calculated according to the oil smoke size of temperature in the cooking zone of detection and cooking zone
Obtain the current polycyclic aromatic hydrocarbon concentration of cooking zone.
Preferably, above-mentioned harmful gas detecting device is provided with the temperature sensing mould for detecting temperature in cooking zone
Block, the image capture module for obtaining generating oil smoke size to the image analysis of cooking zone oil smoke and in real time and work as calculating
The computing module of the polycyclic aromatic hydrocarbon concentration of preceding cooking zone, temperature sensing module and image capture module are electric with computing module respectively
Connection.
Temperature obtains temperature signal and using obtained temperature signal as temperature in temperature sensing module induction cook region
Degree output signal is transmitted to computing module, and image capture module acquisition cooking zone oil smoke image obtains oil smoke output signal and passes
Transport to computing module, computing module receive respectively temperature sensing module temperature output signal and image capture module oil smoke it is defeated
Signal out is then dense to the polycyclic aromatic hydrocarbon that temperature output signal and the processing of oil smoke output signal obtain current cooking zone in real time
Degree.
Preferably, above-mentioned computing module is to construct to obtain about harmful in temperature and oil smoke size and oil smoke with mathematical modeling
The computing module of the mathematical relationship of polycyclic aromatic hydrocarbon concentration in gas.
Preferably, above-mentioned computing module is lienar for computing module, NONLINEAR CALCULATION module, exponential type computing module, power
Type computing module, logarithmic computing module, neural network computing module, machine learning computing module or deep learning calculate
Module.
Preferably, the calculation formula of above-mentioned computing module is formula (I),
CPolycyclic aromatic hydrocarbon+ 475.1 formula (I) of+0.33 κ λ of+0.05 λ of=0.05 κ,
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module.
Preferably, the calculation formula of above-mentioned computing module is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.05λ1.05+ 469.5 formula of+0.33 κ λ (II).
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module.
Preferably, above-mentioned computing module carries out Environmental Health grade classification according to polycyclic aromatic hydrocarbon concentration.
Be averaged limiting concentration and polycyclic aromatic hydrocarbon concentrations versus of benzo [a] pyrene of national regulations carries out environmental rating division.
Work as CPolycyclic aromatic hydrocarbon< CBenzo [a] pyreneWhen, it is determined as Health Category, works as CPolycyclic aromatic hydrocarbon≥CBenzo [a] pyreneWhen, then it is determined as unhealthy etc.
Grade.
It is wherein CBenzo [a] pyreneBenzo [a] pyrene of national regulations is averaged limiting concentration, and CBenzo [a] pyrene=1ng/m3。
Benzo [a] pyrene of polycyclic aromatic hydrocarbon concentration and national regulations be averaged limiting concentration be divided by carry out Environmental Health grade draw
Point, as shown in formula (III):
As 0≤ε≤0.5, then it is determined as Health Category, as 0.5 < ε≤1, is then determined as good level, as ε > 1
When, then it is determined as unhealthy grade.
Preferably, above-mentioned cycloaromatics environmental rating division is with result after polycyclic aromatic hydrocarbon concentration and the weighting of equivalent virulence factor
The polycyclic aromatic hydrocarbon environmental rating of progress divides.
Preferably, above by formula (IV) count polycyclic aromatic hydrocarbon total yield toxic concentration:
Wherein BEQ is the total yield virulence factor of polycyclic aromatic hydrocarbon, and μ is the label of polycyclic aromatic hydrocarbon type, 1≤μ≤ξ and μ and ξ
For natural number, beqμFor the equivalent toxic concentration of μ kind polycyclic aromatic hydrocarbon, beqμIt is counted by formula (V),
beqμ=Cμ*TEFμFormula (V),
CμFor the concentration of μ kind polycyclic aromatic hydrocarbon, TEFμFor the corresponding equivalent virulence factor of μ kind polycyclic aromatic hydrocarbon.
The total yield toxic concentration of polycyclic aromatic hydrocarbon and benzo [a] pyrene of national regulations be averaged limiting concentration comparison carry out environment
Grade classification.
As BEQ < CBenzo [a] pyreneWhen, it is determined as Health Category, as BEQ >=CBenzo [a] pyreneWhen, then it is determined as unhealthy grade.
The total yield toxic concentration of polycyclic aromatic hydrocarbon and benzo [a] pyrene of the national regulations limiting concentration that is averaged are divided by and carry out environment
Health Category divides, as shown in formula (VI):
As 0≤δ≤0.5, then it is determined as Health Category, as 0 < δ≤1, is then determined as good level, as δ > 1,
Then it is determined as unhealthy grade.
Preferably, above-mentioned smoke machine main body is additionally provided with blast velocity control module, and blast velocity control module is electrically connected with computing module.
Preferably, above-mentioned blast velocity control module carries out wind speed to smoke machine main body according to the environmental rating that computing module is sent
It adjusts.
Preferably, above-mentioned smoke machine main body is additionally provided with cue module, and cue module is electrically connected with computing module；
Preferably, above-mentioned cue module carries out current environment grade to user according to the environmental rating that computing module is sent
Prompt.
Preferably, above-mentioned smoke machine main body is additionally provided with firepower control module, and firepower control module is electrically connected with computing module.
Preferably, above-mentioned firepower control module carries out firepower to external stove according to the environmental rating that computing module is sent
It adjusts.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke of the invention is provided with smoke machine main body and pernicious gas detection
Device, harmful gas detecting device are electrically connected with smoke machine main body.Harmful gas detecting device is according to warm in the cooking zone of detection
The oil smoke size of degree and cooking zone carries out that the current polycyclic aromatic hydrocarbon concentration of cooking zone is calculated.The temperature of the kitchen ventilator passes
Feel temperature in module detection cooking zone, image capture module is to the image analysis of cooking zone oil smoke and obtains generating oil smoke in real time
Then situation calculates the polycyclic aromatic hydrocarbon concentration of current environment into that must acquire by computing module.Furthermore kitchen ventilator of the invention
Environmental Health grade classification can also be carried out to the concentration of the polycyclic aromatic hydrocarbon of current environment, while the kitchen ventilator also has blast velocity control
Module, cue module and firepower control module, current environment Health Category automatically adjust the firepower of wind speed and external stove, make to work as
The polycyclic aromatic hydrocarbon concentration of preceding environment reduces, while call user's attention is protected.
Detailed description of the invention
Using attached drawing, the present invention is further illustrated, but the content in attached drawing is not constituted to any limit of the invention
System.
Fig. 1 is a kind of workflow schematic diagram that can identify the kitchen ventilator of pernicious gas in oil smoke of embodiment 1.
Fig. 2 is a kind of workflow schematic diagram that can identify the kitchen ventilator of pernicious gas in oil smoke of embodiment 4.
Specific embodiment
Technical solution of the present invention is described further with the following Examples.
Embodiment 1.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, as shown in Figure 1, being provided with smoke machine main body and pernicious gas inspection
Device is surveyed, harmful gas detecting device is electrically connected with smoke machine main body.
Harmful gas detecting device is calculated according to the oil smoke size of temperature in the cooking zone of detection and cooking zone
Obtain the current polycyclic aromatic hydrocarbon concentration of cooking zone.
Harmful gas detecting device is provided with for detecting the temperature sensing module of temperature in cooking zone, for culinary art
Region oil smoke image analysis simultaneously obtains generating the image capture module of oil smoke size and for calculating current cooking zone in real time
The computing module of polycyclic aromatic hydrocarbon concentration, temperature sensing module and image capture module are electrically connected with computing module respectively.
Temperature preferably detects kitchen tools temperature in cooking zone of the invention, or Air Temperature in detection cooking zone
Degree, oil smoke temperature or kitchen range temperature etc., specific embodiment according to the actual situation depending on.The present embodiment has in cooking zone
Detection temperature is kitchen tools temperature.
Temperature obtains temperature signal and using obtained temperature signal as temperature in temperature sensing module induction cook region
Degree output signal is transmitted to computing module, and image capture module acquisition cooking zone oil smoke image obtains oil smoke output signal and passes
Transport to computing module, computing module receive respectively temperature sensing module temperature output signal and image capture module oil smoke it is defeated
Signal out is then dense to the polycyclic aromatic hydrocarbon that temperature output signal and the processing of oil smoke output signal obtain current cooking zone in real time
Degree.
Computing module constructs to obtain about temperature and oil smoke size and polycyclic virtue in pernicious gas in oil smoke with mathematical modeling
The computing module of the mathematical relationship of hydrocarbon concentration.
Computing module of the invention is obtained by mathematical modeling, and mathematical modeling is to collect different temperatures and oil smoke by experiment
The mathematical relationship of pernicious gas polycyclic aromatic hydrocarbon concentration in the factors such as size and oil smoke.Sampling inspection is carried out according to different experiment conditions
Measure variety classes polycyclic aromatic hydrocarbon concentration carry out analysis sort out obtain mathematical model, so that computing module can be according to cooking area
The testing conditions of temperature and oil smoke size judge current variety classes polycyclic aromatic hydrocarbon concentration in domain.
Computing module of the invention is lienar for computing module, NONLINEAR CALCULATION module, exponential type computing module, power type meter
Calculate module, logarithmic computing module, neural network computing module, machine learning computing module or deep learning computing module
One of which.
Image capture module acquires the case where oil smoke is generated in cooking process in real time, specially acquires corresponding region in real time
Picture simultaneously handles current kitchen fume concentration, and data are transmitted to computing module.
The processing method of image capture module are as follows:
Image capture module is handled based on the initial pictures that imaging device acquires, and initial pictures are gray scale
Figure, initial pictures collected are serialized, and the initial pictures of the initial pictures and previous frame that pass sequentially through rear frame are handled, and are obtained
To the current kitchen fume concentration at moment locating for each rear frame initial pictures
It is handled every time by the initial pictures of rear frame and the initial pictures of previous frame, when obtaining locating for rear frame initial pictures
The step process for the current kitchen fume concentration carved is as follows:
(1) initial pictures of rear frame and the initial pictures of previous frame frame difference is carried out to handle to obtain frame difference image；
(2) denoising is carried out to frame difference image in a manner of opening operation, obtains denoising image；
(3) edge detection is carried out to denoising image, marker motion region is as initial area-of-interest；
(4) gray average calculating is carried out to initial area-of-interest and segment smoothing degree calculates, it is equal gray scale will to be met simultaneously
The region of value and smoothness requirements is as next step area-of-interest, and other regions are as interference elimination；
(5) area-of-interest extracted to step (4) counts respectively, obtains oil smoke concentration according to statistical result and assigns
Value.
In step (1), to collected initial pictures carry out frame difference operate to obtain frame difference image be specifically:
Image capture module does a later frame image with previous frame image according to the sequencing of the initial pictures received
Difference obtains the highlighted frame difference image in dynamic area.
Wherein step (2) carries out denoising using opening operation to frame difference image, denoising image is obtained, especially by as follows
Mode carries out: first carrying out etching operation to frame difference image and disconnects narrow company to eliminate noise and the tiny spine in image
It connects；Expansive working is carried out to the image after corrosion again, restores the smoke characteristics in former frame difference image.
Wherein step (3) carries out edge detection to denoising image, and marker motion region is as initial area-of-interest, specifically
Be: the edge of detection frame difference image highlight regions is simultaneously marked, using the region marked as initial area-of-interest.
Wherein step (4) is specifically to carry out gray average, the calculating of segment smoothing degree to each initial area-of-interest, is obtained
Each initial corresponding gray average of area-of-interest and gray scale smoothness, will meet the gray average being calculated simultaneously and are less than
Gray threshold, gray scale smoothness be less than gray scale smoothness threshold initial area-of-interest be used as area-of-interest, will it is other at the beginning of
Beginning area-of-interest is determined as interference region.
Wherein step (5) be specifically, for the area-of-interest that step (4) extracts, by each region of interest area image
In the gray scales of all pixels carry out read group total and obtain the gray value of each region of interest area image, then by each region of interest
The gray value of area image is summed, and oil smoke concentration assignment is obtained.
The target area of imaging device acquisition indicates that any one frame initial pictures are the imaging of corresponding region S with region S.
Initial pictures are made of m*n pixel,
The gray value of the pixel of frame initial pictures A is indicated afterwards with matrix A H, AH={ ahi,j, ahi,jFrame initial graph after representative
As the i-th row, the corresponding gray value of jth column pixel in A, i is the row where pixel, and j is the column where pixel, 1≤i≤m, 1≤j
≤n；The subregion in frame initial pictures A where the i-th row, jth column pixel is AS afterwardsi,j。
The gray value of the pixel of previous frame initial pictures B indicates with matrix B H, BH={ bhi,j, bhi,jRepresent previous frame initial graph
As the i-th row, the corresponding gray value of jth column pixel in B, the subregion in previous frame initial pictures B where the i-th row, jth column pixel is
BSi,j。
The grey scale pixel value of frame difference image D indicates with matrix D H, DH={ dhi,j}={ | ahi,j-bhi,j|, dhi,jIt represents
I-th row, the corresponding gray value of jth column pixel in frame difference image D, the subregion in frame difference image D where the i-th row, jth column pixel
For DSi,j。
In frame difference image, | dhi,j|=0 region is in black；|dhi,j| ≠ 0 region is in be highlighted.
Etching operation wherein is carried out to frame difference image in step (2), is specifically comprised the following steps:
2-11 arbitrarily defines a convolution kernel θ；
Convolution kernel θ and frame difference image are carried out convolution by 2-12；When convolution kernel θ traverses frame difference image, convolution kernel institute is extracted
The pixel grey scale minimum value p of the convolution results and pixel C being overlapped with convolution kernel center in overlay area；
The gray scale of pixel C passes through Matrix C H={ ck,qIndicate, k, q are the row serial number and column serial number of pixel C,
Obtain the convolution results minimum value pixel matrix P obtained in convolution kernel θ traversal frame difference image process, minimum value
The gray scale of pixel matrix P passes through matrix PH={ pk,qIndicate；
The corresponding imparting pixel C of the gray scale of pixel matrix P is obtained corrosion image by 2-13；
Expansive working is carried out to corrosion image in step (2), is specifically comprised the following steps:
2-21 arbitrarily defines a convolution kernel β；
Convolution kernel β and corrosion image are carried out convolution by 2-22；When convolution kernel β traverses corrosion image, convolution kernel institute is extracted
The pixel grey scale maximum value o of the convolution results and pixel R being overlapped with convolution kernel center in overlay area；
The gray scale of pixel R passes through matrix RH={ rl,vIndicate, l, v are the row serial number and column serial number of pixel R,
Obtain the convolution results maximum value pixel matrix O obtained in convolution kernel β traversal corrosion image process, maximum value
The gray scale of pixel matrix O passes through matrix OH={ ol,vIndicate；
The corresponding imparting pixel R of the gray scale of maximum value pixel matrix O is obtained expanding image, obtained expansion by 2-13
Image is to denoise image.
Wherein step (3) carries out as follows:
3-1 defines a filter Y, and filter is t*t matrix, and t is odd number；
3-2 makes filter Y traversal denoising image, calculates filter and go where the central pixel point at each position
It makes an uproar the gray values of other pixels in the gray value and center pixel vertex neighborhood of image, and filter is calculated according to formula (I)
The edge detection value X of central pixel point at each positionz, z is label when filter Y traversal denoises image,
F, g is the matrix serial number of pixel, and 1≤f≤t, 1≤g≤t, e are pixel of the filter at each position
The gray value of the denoising image at place；α is weight coefficient, corresponding with filter location；
3-3, by central pixel point edge detection value X of the filter at each positionzWith center pixel vertex neighborhood its
The gray value of its pixel subtracts each other, and judges whether the absolute value of difference is greater than threshold value Δ；
Statistics is greater than the quantity of threshold value, if quantity is more thanDetermine the central pixel point pair of filter present position
The pixel position for the denoising image answered is marginal point, and is marked；
3-4, complete denoising image of filter traversal, obtains the markd marginal point of institute, obtains preliminary area-of-interest.
T is 3.
It should be noted that the processing method of above-mentioned image capture module is only to propose one kind of processing method, it is right
The method of the image capture module output data of acquisition cooking zone is merely able to all in the processing method of other image capture modules
It can be applied to the kitchen ventilator that can identify pernicious gas in oil smoke of the invention, protection scope of the present invention should all be fallen into.
It should be noted that image capture module of the invention is to be examined using camera to cooking zone oil smoke size
It surveys, as long as can be realized above-mentioned function of the invention all can serve as image capture module of the invention.And calculating of the invention
Module is that the polycyclic aromatic hydrocarbon concentration of current cooking zone is calculated by temperature signal and oil smoke signal, which is to calculate
Device or the module for having computing function can be used as computing module of the invention, and the computing module for this type is that industry is raw
The common knowledge of computing module in production, those skilled in the art is it is to be understood that details are not described herein.
This can identify the kitchen ventilator of pernicious gas in oil smoke, be provided with smoke machine main body and harmful gas detecting device, harmful
Gas-detecting device is electrically connected with smoke machine main body.Harmful gas detecting device is to detect temperature and cooking zone in cooking zone
Oil smoke size carries out the polycyclic aromatic hydrocarbon concentration that current cooking zone is calculated.The temperature sensing module of the kitchen ventilator detects culinary art
Temperature in region, image capture module obtain generating to the image analysis of cooking zone oil smoke and in real time oil smoke situation into must acquire,
Then the concentration of the polycyclic aromatic hydrocarbon of current environment is calculated by computing module.
Embodiment 2.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are same as Example 1, the difference is that:
The calculation formula of computing module is formula (I),
CPolycyclic aromatic hydrocarbon+ 475.1 formula (I) of+0.33 κ λ of+0.05 λ of=0.05 κ,
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module.
When κ ∈ (0 DEG C, 200 DEG C), (0,300) λ ∈, C(2-3)=70%CPolycyclic aromatic hydrocarbon,C(4)=20%CPolycyclic aromatic hydrocarbon,C(5-6)=
10%CPolycyclic aromatic hydrocarbon。
When κ ∈ (200 DEG C, 240 DEG C), (300,500) λ ∈, C(2-3)=60%CPolycyclic aromatic hydrocarbon,C(4)=25%CPolycyclic aromatic hydrocarbon,
C(5-6)=15%CPolycyclic aromatic hydrocarbon。
Wherein C(2-3)For the concentration of two ring polycyclic aromatic hydrocarbons and three ring polycyclic aromatic hydrocarbons, C(4)For the concentration of four ring polycyclic aromatic hydrocarbons,
C(5-6)For the concentration of five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Such as when κ is 100 DEG C, when λ is 100, the data value of κ and λ is directly substituted into formula respectively, count to obtain CPolycyclic aromatic hydrocarbonFor
3785.1 and CPolycyclic aromatic hydrocarbonUnit be pg/m3, i.e., the concentration of the polycyclic aromatic hydrocarbon in current environment is 3785.1pg/m3。C(2-3)It is dense
Degree is 2649.57pg/m3, C(4)Concentration be 757.02pg/m3, C(5-6)Concentration be 378.51pg/m3。
The kitchen ventilator of the present embodiment can be counted by temperature in detection cooking zone and the oil smoke size of cooking zone
Calculation obtains the polycyclic aromatic hydrocarbon concentration of current cooking zone, and it is polycyclic can to calculate two ring polycyclic aromatic hydrocarbons in current environment, tricyclic
The concentration of aromatic hydrocarbons, four ring polycyclic aromatic hydrocarbons, five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Embodiment 3.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are same as Example 1, the difference is that:
The calculation formula of computing module is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.05λ1.05+ 469.5 formula of+0.33 κ λ (II).
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module.
When κ ∈ (0 DEG C, 200 DEG C), (0,300) λ ∈, C(2-3)=70%CPolycyclic aromatic hydrocarbon,C(4)=20%CPolycyclic aromatic hydrocarbon,C(5-6)=
10%C polycyclic aromatic hydrocarbon.
When κ ∈ (200 DEG C, 240 DEG C), (300,500) λ ∈, C(2-3)=60%CPolycyclic aromatic hydrocarbon,C(4)=25%CPolycyclic aromatic hydrocarbon,
C(5-6)=15%CPolycyclic aromatic hydrocarbon。
Wherein C(2-3)For the concentration of two ring polycyclic aromatic hydrocarbons and three ring polycyclic aromatic hydrocarbons, C(4)For the concentration of four ring polycyclic aromatic hydrocarbons,
C(5-6)For the concentration of five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Such as when κ is 100 DEG C, when λ is 100, the data value of κ and λ is directly substituted into formula respectively, count to obtain CPolycyclic aromatic hydrocarbonFor
3780.35 and CPolycyclic aromatic hydrocarbonUnit be pg/m3, i.e., the concentration of the polycyclic aromatic hydrocarbon in current environment is 3780.35pg/m3。C(2-3)'s
Concentration is 2646.245pg/m3, C(4)Concentration be 756.07pg/m3, C(5-6)Concentration be 378.035pg/m3。
The kitchen ventilator of the present embodiment can be counted by temperature in detection cooking zone and the oil smoke size of cooking zone
Calculation obtains the polycyclic aromatic hydrocarbon concentration of current cooking zone, and it is polycyclic can to calculate two ring polycyclic aromatic hydrocarbons in current environment, tricyclic
The concentration of aromatic hydrocarbons, four ring polycyclic aromatic hydrocarbons, five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Embodiment 4.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are identical as embodiment 2 or embodiment 3, no
Be with place: computing module of the invention carries out Environmental Health grade classification according to polycyclic aromatic hydrocarbon concentration.
The present embodiment is that be averaged limiting concentration and the polycyclic aromatic hydrocarbon concentrations versus of benzo [a] pyrene of national regulations carries out environment etc.
Grade divides.
Work as CPolycyclic aromatic hydrocarbon< CBenzo [a] pyreneWhen, it is determined as Health Category, works as CPolycyclic aromatic hydrocarbon≥CBenzo [a] pyreneWhen, when judgement, then it is determined as not
Health Category.
Wherein CBenzo [a] pyreneIt is averaged limiting concentration, and C for benzo [a] pyrene of national regulationsBenzo [a] pyrene=1ng/m3。
The present embodiment is to carry out Health Category division according to GBT18883-2 indoor air quality mark matter, and the present invention can also
To be divided according to other quality standards, such as " environmental quality standards " of GB3059-2012, WTO.The present invention can also root
It is divided according to other preset environmental quality values.
Compared with embodiment 2 or 3, the present embodiment carries out Environmental Health grade classification, Neng Gougeng according to polycyclic aromatic hydrocarbon concentration
Add the air quality for intuitively going to judge current cooking environments.
Embodiment 5.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are same as Example 4, the difference is that:
Benzo [a] pyrene of the polycyclic aromatic hydrocarbon concentration and national regulations limiting concentration that is averaged is divided by and carries out Environmental Health grade classification, such as formula
(III) shown in:
As 0≤ε≤0.5, then it is determined as Health Category, as 0.5 < ε≤1, is then determined as good level, as ε > 1
When, then it is determined as unhealthy grade.
Compared with embodiment 2 or 3, the present embodiment carries out Environmental Health grade classification, Neng Gougeng according to polycyclic aromatic hydrocarbon concentration
Add the air quality for intuitively going to judge current cooking environments.
Embodiment 6.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are identical as embodiment 4 or embodiment 5, no
Be with place: it is the more of result progress after being weighted with polycyclic aromatic hydrocarbon concentration and equivalent virulence factor that cycloaromatics environmental rating, which divides,
Cycloaromatics environmental rating divides.
By formula (IV) count polycyclic aromatic hydrocarbon total yield toxic concentration:
Wherein BEQ is the total yield virulence factor of polycyclic aromatic hydrocarbon, and μ is the label of polycyclic aromatic hydrocarbon type, 1≤μ≤ξ and μ and ξ
For natural number, beqμFor the equivalent toxic concentration of μ kind polycyclic aromatic hydrocarbon, beqμIt is counted by formula (V),
beqμ=Cμ*TEFμFormula (V),
CμFor the concentration of μ kind polycyclic aromatic hydrocarbon, TEFμFor the corresponding equivalent virulence factor of μ kind polycyclic aromatic hydrocarbon.It is different polycyclic
The equivalent virulence factor of aromatic hydrocarbons is as shown in table 1:
Table 1 is the equivalent virulence factor of various polycyclic aromatic hydrocarbons
| Polycyclic aromatic hydrocarbon | PAHs | Number of rings | Virulence factor (TEFs) |
| Naphthalene | NAP | 2 | 0.001 |
| Acenaphthylene | ACE | 2 | 0.001 |
| Fluorenes | FLO | 2 | 0.001 |
| Acenaphthene | ACY | 2 | 0.001 |
| It is luxuriant and rich with fragrance | PHE | 3 | 0.001 |
| Anthracene | ANT | 3 | 0.01 |
| Fluoranthene | FLU | 3 | 0.001 |
| Pyrene | PYR | 4 | 0.001 |
| It bends | CHRY | 4 | 0.01 |
| Benzo [a] anthracene | BAA | 4 | 0.1 |
| Benzo [b] fluoranthene | BBF | 4 | 0.1 |
| Benzo [k] fluoranthene | BKF | 4 | 0.1 |
| Benzo [a] pyrene | BAP | 5 | 1 |
| Dibenzo [a, h] anthracene | DBA | 5 | 5 |
| Benzo [g, h, i] | BGP | 6 | 0.01 |
| Indeno [1,2,3-c, d] pyrene | INP | 5 | 0.1 |
Compared with embodiment 4 or embodiment 5, this embodiment introduces the equivalent virulence factor of different polycyclic aromatic hydrocarbons, because
It is different for the toxicity for different polycyclic aromatic hydrocarbons, thus harm to the human body is also different.
Embodiment 7.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are same as Example 6, the difference is that:
The present embodiment be polycyclic aromatic hydrocarbon total yield toxic concentration and national regulations benzo [a] pyrene be averaged limiting concentration comparison progress ring
Border grade classification；
As BEQ < CBenzo [a] pyreneWhen, when, then it is determined as Health Category, as BEQ >=CBenzo [a] pyreneWhen, when, then it is determined as unhealthy
Grade.
Compared with Example 4, this embodiment introduces the equivalent virulence factors of different polycyclic aromatic hydrocarbons, because for different
The toxicity of polycyclic aromatic hydrocarbon is different, thus harm to the human body is also different.
Embodiment 8.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, other features are same as Example 6, the difference is that:
The total yield toxic concentration of polycyclic aromatic hydrocarbon and benzo [a] pyrene of the national regulations limiting concentration that is averaged are divided by and carry out Environmental Health grade
It divides, as shown in formula (VI):
As 0≤δ≤0.5, then it is determined as Health Category, as 0 < δ≤1, is then determined as good level, as δ > 1,
Then it is determined as unhealthy grade.
Compared with Example 5, this embodiment introduces the equivalent virulence factors of different polycyclic aromatic hydrocarbons, because for different
The toxicity of polycyclic aromatic hydrocarbon is different, thus harm to the human body is also different.
Embodiment 9.
A kind of kitchen ventilator that can identify pernicious gas in oil smoke, as shown in Fig. 2, other features are same as Example 2, it is different
Place is: smoke machine main body is additionally provided with blast velocity control module, and blast velocity control module is electrically connected with computing module.Blast velocity control mould
Block carries out wind speed adjusting to smoke machine main body according to the environmental rating that computing module is sent.
Smoke machine main body is additionally provided with cue module, and cue module is electrically connected with computing module.Cue module, according to calculating mould
The environmental rating that block is sent carries out the prompt of current environment grade to user.
Smoke machine main body is additionally provided with firepower control module, and firepower control module is electrically connected with computing module.Firepower control mould
Block carries out firepower adjusting to external stove according to the environmental rating that computing module is sent.
Compared with Example 1, it is strong to carry out environment to the concentration of the polycyclic aromatic hydrocarbon of current environment for the oil smoke function of the present embodiment
Health grade classification, while the kitchen ventilator also has blast velocity control module, cue module and firepower control module, current environment health
Grade automatically adjusts the firepower of wind speed and external stove, reduces the concentration of the polycyclic aromatic hydrocarbon of current environment, while reminding user
Pay attention to protection.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention rather than protects to the present invention
The limitation of range, although the invention is described in detail with reference to the preferred embodiments, those skilled in the art should be managed
Solution, can be with modifying or equivalently replacing the technical solution of the present invention, without departing from the essence and model of technical solution of the present invention
It encloses.
Claims (16)
1. a kind of kitchen ventilator that can identify pernicious gas in oil smoke, it is characterised in that: it is provided with smoke machine main body and pernicious gas inspection
Device is surveyed, harmful gas detecting device is electrically connected with smoke machine main body；
Harmful gas detecting device is calculated according to the oil smoke size of temperature in the cooking zone of detection and cooking zone
The current polycyclic aromatic hydrocarbon concentration of cooking zone.
2. the kitchen ventilator according to claim 1 that can identify pernicious gas in oil smoke, it is characterised in that: the pernicious gas
Detection device is provided with for detecting the temperature sensing module of temperature in cooking zone, for cooking zone oil smoke image analysis
And it obtains generating the image capture module of oil smoke size and based on the polycyclic aromatic hydrocarbon concentration for calculating current cooking zone in real time
Module is calculated, temperature sensing module and image capture module are electrically connected with computing module respectively；
Temperature obtains temperature signal and obtained temperature signal is defeated as temperature in temperature sensing module induction cook region
Signal is transmitted to computing module out, and image capture module acquisition cooking zone oil smoke image obtains oil smoke output signal and is transmitted to
Computing module, computing module receive the temperature output signal of temperature sensing module and the oil smoke output letter of image capture module respectively
Number, then obtain the polycyclic aromatic hydrocarbon concentration of current cooking zone in real time to temperature output signal and the processing of oil smoke output signal.
3. the kitchen ventilator according to claim 2 that can identify pernicious gas in oil smoke, it is characterised in that: the computing module
To construct to obtain about the mathematics of polycyclic aromatic hydrocarbon concentration closes in pernicious gas in temperature and oil smoke size and oil smoke with mathematical modeling
The computing module of system.
4. the kitchen ventilator according to claim 3 that can identify pernicious gas in oil smoke, it is characterised in that: the computing module
For lienar for computing module, NONLINEAR CALCULATION module, exponential type computing module, power type computing module, logarithmic computing module, class
Neural computing module, machine learning computing module or deep learning computing module.
5. the kitchen ventilator according to claim 3 that can identify pernicious gas in oil smoke, it is characterised in that: the computing module
Calculation formula be formula (I),
CPolycyclic aromatic hydrocarbon+ 475.1 formula (I) of+0.33 κ λ of+0.05 λ of=0.05 κ,
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, and λ is figure
As the output data of acquisition module.
6. the kitchen ventilator according to claim 3 that can identify pernicious gas in oil smoke, it is characterised in that: the computing module
Calculation formula be formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.05λ1.05+ 469.5 formula of+0.33 κ λ (II),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, and λ is figure
As the output data of acquisition module.
7. can identify the kitchen ventilator of pernicious gas in oil smoke according to claim 5 or 6, it is characterised in that: the meter
It calculates module and Environmental Health grade classification is carried out according to polycyclic aromatic hydrocarbon concentration.
8. the kitchen ventilator according to claim 7 that can identify pernicious gas in oil smoke, which is characterized in that the benzene of national regulations
And be averaged limiting concentration and polycyclic aromatic hydrocarbon concentrations versus of [a] pyrene carries out environmental rating division；
Work as CPolycyclic aromatic hydrocarbon: < CBenzo [a] pyreneWhen, it is determined as Health Category, works as CPolycyclic aromatic hydrocarbon: >=CBenzo [a] pyreneWhen, it is determined as unhealthy grade；
Wherein CBenzo [a] pyreneIt is averaged limiting concentration, and C for benzo [a] pyrene of national regulationsBenzo [a] pyrene=1ng/m3。
9. the kitchen ventilator according to claim 7 that can identify pernicious gas in oil smoke, which is characterized in that polycyclic aromatic hydrocarbon concentration
It is divided by with benzo [a] pyrene of the national regulations limiting concentration that is averaged and carries out Environmental Health grade classification, as shown in formula (III):
As 0≤ε≤0.5, then it is determined as Health Category, as 0.5 < ε≤1, is then determined as good level, as ε > 1, then
It is determined as unhealthy grade.
10. the kitchen ventilator according to claim 7 that can identify pernicious gas in oil smoke, it is characterised in that: the cycloaromatics
Environmental rating, which divides, to be drawn with the polycyclic aromatic hydrocarbon environmental rating that result carries out after polycyclic aromatic hydrocarbon concentration and the weighting of equivalent virulence factor
Point.
11. the kitchen ventilator according to claim 10 that can identify pernicious gas in oil smoke, it is characterised in that: pass through formula (IV)
Count polycyclic aromatic hydrocarbon total yield toxic concentration:
Wherein BEQ is the total yield toxic concentration of polycyclic aromatic hydrocarbon, and μ is the label of polycyclic aromatic hydrocarbon type, and 1≤μ≤ξ and μ and ξ are certainly
So number, beqμFor the equivalent toxic concentration of μ kind polycyclic aromatic hydrocarbon, beqμIt is counted by formula (V),
beqμ=Cμ*TEFμFormula (V),
CμFor the concentration of μ kind polycyclic aromatic hydrocarbon, TEFμFor the corresponding equivalent virulence factor of μ kind polycyclic aromatic hydrocarbon.
12. the kitchen ventilator according to claim 11 that can identify pernicious gas in oil smoke, it is characterised in that: polycyclic aromatic hydrocarbon
Benzo [a] pyrene of total yield toxic concentration and national regulations be averaged limiting concentration comparison carry out environmental rating division；
As BEQ < CBenzo [a] pyreneWhen, it is determined as Health Category, as BEQ >=CBenzo [a] pyreneWhen, judgement is then determined as unhealthy grade.
13. the kitchen ventilator according to claim 11 that can identify pernicious gas in oil smoke, it is characterised in that: polycyclic aromatic hydrocarbon
Benzo [a] pyrene of the total yield toxic concentration and national regulations limiting concentration that is averaged is divided by and carries out Environmental Health grade classification, such as formula
(VI) shown in:
As 0≤δ≤0.5, then it is determined as Health Category, as 0 < δ≤1, is then determined as good level, as δ > 1, then sentences
It is set to unhealthy grade.
14. the kitchen ventilator of pernicious gas in oil smoke can be identified according to claim 8,9,12 or 13 any one,
Be characterized in that: the smoke machine main body is additionally provided with blast velocity control module, and blast velocity control module is electrically connected with computing module；
The blast velocity control module carries out wind speed adjusting to smoke machine main body according to the environmental rating that computing module is sent.
15. the kitchen ventilator according to claim 14 that can identify pernicious gas in oil smoke, it is characterised in that: the smoke machine master
Body is additionally provided with cue module, and cue module is electrically connected with computing module；
The cue module carries out the prompt of current environment grade to user according to the environmental rating that computing module is sent.
16. the kitchen ventilator according to claim 15 that can identify pernicious gas in oil smoke, it is characterised in that: the smoke machine master
Body is additionally provided with firepower control module, and firepower control module is electrically connected with computing module；
The firepower control module carries out firepower adjusting to external stove according to the environmental rating that computing module is sent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811653162.XA CN109631118B (en) | 2018-12-29 | 2018-12-29 | Range hood capable of identifying harmful gas in oil smoke |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811653162.XA CN109631118B (en) | 2018-12-29 | 2018-12-29 | Range hood capable of identifying harmful gas in oil smoke |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109631118A true CN109631118A (en) | 2019-04-16 |
| CN109631118B CN109631118B (en) | 2020-04-28 |
Family
ID=66056428
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811653162.XA Active CN109631118B (en) | 2018-12-29 | 2018-12-29 | Range hood capable of identifying harmful gas in oil smoke |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109631118B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111765500A (en) * | 2020-06-30 | 2020-10-13 | 湖南第一师范学院 | Stable and efficient oil smoke biological purification system and purification treatment efficiency control method thereof |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102288574A (en) * | 2011-07-08 | 2011-12-21 | 华南理工大学 | Device and method for quantitatively analyzing concentration of multi-component oil fume |
| CN202719654U (en) * | 2012-05-11 | 2013-02-06 | 黑龙江彩格工业设计有限公司 | Multi-stage efficient lampblack purifier |
| CN202902415U (en) * | 2012-11-30 | 2013-04-24 | 周子朋 | Smoke sucker with alarm |
| CN205333602U (en) * | 2016-01-12 | 2016-06-22 | 四川农业大学 | Oil smoke concentration detection device |
| KR20170055879A (en) * | 2015-11-12 | 2017-05-22 | 동국대학교 산학협력단 | Cooking apparatus for detecting polycyclic aromatic hydrocarbon |
| CN107449861A (en) * | 2017-07-31 | 2017-12-08 | 合肥桥旭科技有限公司 | A kind of engineering shop's air quality monitoring cleaning system based on Internet of Things |
-
2018
- 2018-12-29 CN CN201811653162.XA patent/CN109631118B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102288574A (en) * | 2011-07-08 | 2011-12-21 | 华南理工大学 | Device and method for quantitatively analyzing concentration of multi-component oil fume |
| CN202719654U (en) * | 2012-05-11 | 2013-02-06 | 黑龙江彩格工业设计有限公司 | Multi-stage efficient lampblack purifier |
| CN202902415U (en) * | 2012-11-30 | 2013-04-24 | 周子朋 | Smoke sucker with alarm |
| KR20170055879A (en) * | 2015-11-12 | 2017-05-22 | 동국대학교 산학협력단 | Cooking apparatus for detecting polycyclic aromatic hydrocarbon |
| CN205333602U (en) * | 2016-01-12 | 2016-06-22 | 四川农业大学 | Oil smoke concentration detection device |
| CN107449861A (en) * | 2017-07-31 | 2017-12-08 | 合肥桥旭科技有限公司 | A kind of engineering shop's air quality monitoring cleaning system based on Internet of Things |
Non-Patent Citations (2)
| Title |
|---|
| 朱小玲: "《烹饪过程中多环芳烃的产生及控制》", 《四川烹饪高等专科学校学报》 * |
| 李锡东: "《多环芳烃检测方法研究进展》", 《橡胶工业》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111765500A (en) * | 2020-06-30 | 2020-10-13 | 湖南第一师范学院 | Stable and efficient oil smoke biological purification system and purification treatment efficiency control method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109631118B (en) | 2020-04-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109655585A (en) | A kind of kitchen ventilator that can identify kitchen air quality | |
| CN109579092A (en) | A kind of kitchen ventilator carrying out the linkage of cigarette stove according to working environment | |
| CN109621595A (en) | According to the oil removing spraying system of kitchen fume ingredient and oil smoke oil removing spray method | |
| CN209623754U (en) | A kind of smoke machine changeable type polycyclic aromatic hydrocarbon detection device | |
| CN109813713B (en) | Smoke machine with multiple independent harmful substance detection modules | |
| CN105466921A (en) | Simultaneous detection method of many samples | |
| CN109884049A (en) | A kind of harmful substance detection device being able to detect kitchen fume | |
| CN109882899A (en) | A kind of kitchen ventilator controlled according to working environment | |
| CN109028169A (en) | A kind of stove and oil smoke concentration detection method with flame-out visual spatial attention function | |
| CN209487160U (en) | It is a kind of can to use oil product and historical data to carry out Health Category division kitchen ventilator | |
| CN109631118A (en) | A kind of kitchen ventilator that can identify pernicious gas in oil smoke | |
| CN109654559A (en) | A kind of healthy cooking system that can identify steam and oil smoke | |
| CN209655388U (en) | It is a kind of can according to use oils carry out kitchen air quality assessment kitchen ventilator | |
| CN109657640A (en) | It is a kind of can according to use food materials carry out Health Category division kitchen ventilator | |
| CN109712713A (en) | It is a kind of can to use oil product and historical data to carry out Health Category division kitchen ventilator | |
| CN109654560A (en) | It is a kind of can according to use oils carry out kitchen air quality assessment kitchen ventilator | |
| CN109813841A (en) | A kind of kitchen fume formula polycyclic aromatic hydrocarbon detection device | |
| CN109631111A (en) | It is a kind of that the automatic cigarette stove system that food data bank compares can be sought with health | |
| CN109632796A (en) | A kind of harmful substance detection device and its application with infrared temperature sensor | |
| CN109798565A (en) | A kind of oil absorption system with harmful substance function in identification oil smoke | |
| CN109654545A (en) | It can be according to the stove and firepower control judgment method of cooking environments air quality control | |
| CN109654562A (en) | A kind of and mobile united kitchen ventilator of photographing device | |
| CN109655586A (en) | A kind of oil smoke volatile organic matter detecting and controlling system and its application | |
| CN109654565A (en) | A kind of kitchen ventilator with thermal imaging device | |
| CN109738582A (en) | A kind of kitchen environment air quality suggestion device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |